报告题目:Quantifying brain activity
with Arterial Spin Labeling Perfusion MRI and Entropy
报告人:Ze Wang,Ph.D., Associate Professor of Radiology (Research), Temple University
报告地点:南山1号楼411
报告时间: 2018年11月17号（周六）上午9:30
摘要:Human brain is one of the most complex organisms known to us. Brain activity is the fundamental tool for it to keep and execute its functionality. Quantifyingbrain activity may then help to understand the underlying neuronal mechanism either common to population or specific to individual subject or brain states.In this talk, I’ll introduce two methods for measuring brain activity: ASL perfusion MRI and brain entropy mapping. The former quantifies cerebral blood flow (CBF) and subsequently local brain function. The latter is relatively newer to the literature. It measures the composite irregularity of the temporal dynamics of brain activity. I will introduce both the concept, applications,and the available tools ready to use.
报告人简介:Ze Wang, PhD, IEEE Senior Member.Dr.Wang’s research focuses on MR technique development, image processing,biosignal processing, neuroimaging in drug addiction and Alzheimer’s Disease.His recent research interest also includes brain modulations and deep machine learning. Dr. Wang got his PhD from Shanghai Jiao Tong University in 2003 and his post-doc training by Dr. John A Detre at the University of Pennsylvania(Upenn). He was a Research Assistant Professor at Upenn from 2009-2014, and then a Principal Investigator and Professor of Center of Cognition and Brain Disorders in Hangzhou Normal University from 2014-2016. He is now an Associate Professor of Radiology, Temple University. He has published 92 peer-reviewed journal papers mostly as the first author, corresponding author, last author,or sole author. His H-index is 33. Dr. Wang has developed 4 software packages:3D Fast spin echo spiral readout ASL perfusion MRI sequence and online reconstruction program, ASL signal processing toolbox(ASLtbx), Brain entropy mapping toolbox (BENtbx),multivariate-lesion symptom mapping toolbox (SVR-LSM). All are freely available fromhttps://cfn.upenn.edu/~zewang.In 2005, Dr. Wang has been awarded with the 2005 Shanghai Excellent Thesis Award, and the Nomination Award of 2005 National 100 Excellent PhD Thesis. He has been a board member or associate editors for several international journals.
